Exploratory Data Analysis Tutorial | Basics of EDA with Python | Great Learning

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Exploratory data analysis is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. It helps determine how best to manipulate data sources to get the answers you need, making it easier for data scientists to discover patterns, spot anomalies, test a hypothesis, or check assumptions. EDA is primarily used to see what data can reveal beyond the formal modeling or hypothesis testing task and provides a better understanding of data set variables and the relationships between them. It can also help determine if the statistical techniques you are considering for data analysis are appropriate or not.

🏁 Topics Covered:
00:00:00 Basics of EDA with Python
01:40:10 Multiple Variate Analysis
02:30:26 Outlier Detection
03:44:48 Cricket World Cup Analysis using Exploratory Data Analysis

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sir can u share the data set what your working in this video, i will be helpfull to understand more

rahulrao
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What's his name? So that will be easy for me access his statistics and probability video

maansisrivastava
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Hi, where can i find the notebook? 👏from Brazil/Nordeste/PI.

OceanAlves
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we need the dataset so we can work on it

salehmahbubsaleh
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Please include explanation of the code

vinayakamamrutha
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Plz make one video for whole feature Engineering process

Mon_isha
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Hii
Can u make a video on power BI in Hindi

apla_coder
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Its a complete waste if you don't provide us the dataset for practice. Going forward never fail to proivde the dataset

umeshkambar